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cs.CL2025
Liars' Bench: Evaluating Lie Detectors for Language Models
Kieron Kretschmar, Walter Laurito, Sharan Maiya +1
Prior work has introduced techniques for detecting when large language models (LLMs) lie, that is, generate statements they believe are false. However, these techniques are typical…
cs.CL2025
Steering Evaluation-Aware Language Models to Act Like They Are Deployed
Tim Tian Hua, Andrew Qin, Samuel Marks +1
Large language models (LLMs) can sometimes detect when they are being evaluated and adjust their behavior to appear more aligned, compromising the reliability of safety evaluations…